MealToGo
2024YOLOv8 · Roboflow · Python · Flet · Colab
Personalized meal platform backed by a YOLOv8 food detector trained on a custom Roboflow dataset for fast, health-profile-aware recipe suggestions.
Overview
MealToGo offers quick, nutritious meal options tailored to a user’s health profile. A custom YOLOv8 model, trained on about 100 photos per fruit class via Roboflow (~50 epochs), detects foods so the app can suggest personalized recipes in minutes.
Key features
- Custom Roboflow dataset with bounding boxes and train/test/val splits.
- YOLOv8 trained in Colab/PyCharm for fruit and food detection.
- Flet/Python UX for health-profile-aware meal recommendations.
- Training, detection, and precision visuals from the Devpost project gallery.
Gallery
